Format:
1 Online-Ressource (x, 421 pages)
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digital, PDF file(s)
ISBN:
9780511510595
Series Statement:
Analytical methods for social research
Content:
Drawing upon the explosion of research in the field, a diverse group of scholars surveys strategies for solving ecological inference problems, the process of trying to infer individual behavior from aggregate data. The uncertainties and information lost in aggregation make ecological inference one of the most difficult areas of statistical inference, but these inferences are required in many academic fields, as well as by legislatures and the Courts in redistricting, marketing research by business, and policy analysis by governments. This wide-ranging collection of essays, first published in 2004, offers many important contributions to the study of ecological inference
Note:
Title from publisher's bibliographic system (viewed on 05 Oct 2015)
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Introduction : information in ecological inference : an introduction
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1. Prior and likelihood choices in the analysis of ecological data
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2. The information in aggregate data
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3. Using ecological inference for contextual research
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4. Extending King's ecological inference model to multiple elections using Markov chain Monte Carlo
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5. Ecological regression and ecological inference
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6. Using prior information to aid ecological inference : a Bayesian approach
Additional Edition:
ISBN 9780521835138
Additional Edition:
ISBN 9780521542807
Additional Edition:
Erscheint auch als Druck-Ausgabe ISBN 9780521835138
Language:
English
DOI:
10.1017/CBO9780511510595
URL:
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